---
title: "Who cites Qianli Ma — 9 papers of our library — Elamur Research"
description: "9 papers of the Elamur Research library cite the works of Qianli Ma, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/qianli-ma/cited-by/"
---
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# Who cites Qianli Ma

10 citations of their works from 9 papers of our library (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← Qianli Ma](https://md.research.elamur.ai/free/en/authors/qianli-ma/)

1. **[Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance](https://md.research.elamur.ai/free/en/papers/ma-2026-paper2rebuttal-multi-agent-framework-transparent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qianli Ma, Chang Guo, Zhiheng Tian, et al.*2026 · 5 citations*
2. **[Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future](https://md.research.elamur.ai/free/en/papers/wu-2026-can-ai-be-good-peer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sihong Wu, Owen Jiang, Yilun Zhao, et al.*2026 · 1 citation*
3. **[A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAMΔ Integration into Upcycled MoE](https://md.research.elamur.ai/free/en/papers/zhou-2026-data-efficient-path-multilingual-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Zhou, Tianhao Li, Zhijun Wang, et al.*2026*
4. **[AutoChecklist: Composable Pipelines for Checklist Generation and Scoring with LLM-as-a-Judge](https://md.research.elamur.ai/free/en/papers/zhou-2026-autochecklist-composable-pipelines-checklist-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Karen Zhou, Chenhao Tan*2026*
5. **[ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging](https://md.research.elamur.ai/free/en/papers/yang-2026-reasonany-incorporating-reasoning-capability-any/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junyao Yang, Chen Qian, Wen Shen, et al.*2026*

4 more citing papers of our library have no page here yet.

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